Abstract
In Web Intelligence (WI) applications, it is a common practice to record Web log data. What remains a big obstacle as well as a great challenge in log analysis today is how to characterize the underlying user behavior from the obtained data. In this paper, we will focus on how to interpret strong regularities in Web surfing in terms of user decision-making patterns, and present an information foraging agent-based approach to characterizing user behavior.
| Original language | English |
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| Pages | 457-458 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2002 |
| Event | Proceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems - Bologna, Italy Duration: 15 Jul 2002 → 19 Jul 2002 |
Conference
| Conference | Proceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems |
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| Country/Territory | Italy |
| City | Bologna |
| Period | 15/07/02 → 19/07/02 |
Scopus Subject Areas
- Engineering(all)
User-Defined Keywords
- Agent-Based Simulation
- Information Foraging Agents
- Self-Organized Criticality
- Web Regularity Characterization